Using Bayes to get the most out of non-significant results
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1,031 citations
Cites methods from "Using Bayes to get the most out of ..."
...…(i.e., Bayesian model averaging in regression, Clyde, 2016), the informative model comparison approach (e.g., Gu, Mulder, Decović, & Hoijtink, 2014; Gu, 2016; Mulder, 2014, 2016), and a more flexible and subjective prior specification approach (e.g., Dienes, 2011, 2014, 2016; Gronau et al., 2017)....
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1,027 citations
Cites methods from "Using Bayes to get the most out of ..."
...Bayesian methods can also be used to test a null effect (e.g., Dienes, 2014), but equivalence tests do not require researchers to switch between statistical philosophies to test the absence of a meaningful effect, and the availability of power analyses for equivalence tests allows researchers to…...
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...…also alternative approaches to providing statistical support for a small or null effect, such as estimation (calculating effect sizes and CIs), specifying a region of practical equivalence (Kruschke, 2010), or calculating Bayes factors (Dienes, 2014; Rouder, Speckman, Sun, Morey, & Iverson, 2009)....
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...There are also alternative approaches to providing statistical support for a small or null effect, such as estimation (calculating effect sizes and CIs), specifying a region of practical equivalence (Kruschke, 2010), or calculating Bayes factors (Dienes, 2014; Rouder, Speckman, Sun, Morey, & Iverson, 2009)....
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Cites background from "Using Bayes to get the most out of ..."
...This is a likelihood ratio indicate the relative strength of evidence for two theories (Dienes 2014; Goodman 1999; Goodman 2005)....
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...[9780230542303] Dienes 2014 Dienes Z....
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...As a Bayes factor decreases below 1 (towards 0) the evidence favours H0 over H1 (Dienes 2008; Dienes 2014; Dienes 2017)....
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References
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"Using Bayes to get the most out of ..." refers methods in this paper
...Power can be easily calculated with the free software Gpower (Faul et al., 2009): To calculate a priori power (i.e., in advance of collecting data, which is when it should be calculated), one enters the effect size predicted in advance, a number of participants, the significance level to be used, and a power is returned....
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...Power can be easily calculated with the free software Gpower (Faul et al., 2009): To calculate a priori power (i.e., in advance of collecting data, which is when it should be calculated), one enters the effect size predicted in advance, a number of participants, the significance level to be used,…...
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6,081 citations
"Using Bayes to get the most out of ..." refers background or methods in this paper
...…be considered to evaluate that hypothesis), so one can go directly to the theoretically relevant specific contrasts of interest (Dienes, 2011; for more extended discussion see Dienes, forthcoming; and Kruschke, 2010a for the use of hierarchical modeling for dealing with multiple comparisons)....
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...Bayes is a general all-purpose method that can be applied to any specified distribution or to a bootstrapped distribution (e.g., Jackman, 2009; Kruschke, 2010a; Lee and Wagenmakers, 2014; see Kruschke, 2013b, for a Bayesian analysis that allows heavy-tailed distributions)....
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...Figure 2 shows the four principles of inference by intervals (adapted from Freedman and Spiegelhalter, 1983; Serlin and Lapsley, 1985; Rogers et al., 1993; Kruschke, 2010a; Berry et al., 2011)....
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...The approach in this paper, though Bayesian, involves approaching analysis in a different way in detail than one would if one followed, say, Kruschke (2010a) or Lee and Wagenmakers (2014), who also define themselves as teaching the Bayesian approach....
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...That may be the hardest part of a theory’s predictions to specify.4 If you find it hard to specify the minimal value, you have just run out of options for interpreting a non-significant result as far as orthodoxy is concerned....
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5,683 citations